How to do tests of significance for a difference between two means - AP Statistics
Card 1 of 8
Suppose you conduct a paired
-test to assess whether two group means significantly differ and find a
-score of 1.645. At what alpha level would this cause you to reject the null?
Suppose you conduct a paired -test to assess whether two group means significantly differ and find a
-score of 1.645. At what alpha level would this cause you to reject the null?
Tap to reveal answer
The critical value for a
-test with alpha set to 0.10 is 1.645.
The critical value for a -test with alpha set to 0.10 is 1.645.
← Didn't Know|Knew It →
Bob wants to statistically determine if the mean height of middle school boys is greater than the mean height of middle school girls. He wants to use a significance level of
What must be true for him to reject
.
is known.
Bob wants to statistically determine if the mean height of middle school boys is greater than the mean height of middle school girls. He wants to use a significance level of What must be true for him to reject
.
is known.
Tap to reveal answer
Step 1: We need to use a 2-sample z test because there are 2 samples, boys and girls. The population standard deviation,
, is known, so we can assume a standard distribution for each sample.
Step 2: This is a one-sided z test because the questions asks if the mean height of boys is greater than the mean height of girls.


Step 3: significance level, or alpha, is
. This means we need a p-value less than
in order to reject the null hypothesis
. A z-score greater than
would ensure a p-value less than
.

Step 1: We need to use a 2-sample z test because there are 2 samples, boys and girls. The population standard deviation, , is known, so we can assume a standard distribution for each sample.
Step 2: This is a one-sided z test because the questions asks if the mean height of boys is greater than the mean height of girls.
Step 3: significance level, or alpha, is . This means we need a p-value less than
in order to reject the null hypothesis
. A z-score greater than
would ensure a p-value less than
.

← Didn't Know|Knew It →
Suppose you conduct a paired
-test to assess whether two group means significantly differ and find a
-score of 1.645. At what alpha level would this cause you to reject the null?
Suppose you conduct a paired -test to assess whether two group means significantly differ and find a
-score of 1.645. At what alpha level would this cause you to reject the null?
Tap to reveal answer
The critical value for a
-test with alpha set to 0.10 is 1.645.
The critical value for a -test with alpha set to 0.10 is 1.645.
← Didn't Know|Knew It →
Bob wants to statistically determine if the mean height of middle school boys is greater than the mean height of middle school girls. He wants to use a significance level of
What must be true for him to reject
.
is known.
Bob wants to statistically determine if the mean height of middle school boys is greater than the mean height of middle school girls. He wants to use a significance level of What must be true for him to reject
.
is known.
Tap to reveal answer
Step 1: We need to use a 2-sample z test because there are 2 samples, boys and girls. The population standard deviation,
, is known, so we can assume a standard distribution for each sample.
Step 2: This is a one-sided z test because the questions asks if the mean height of boys is greater than the mean height of girls.


Step 3: significance level, or alpha, is
. This means we need a p-value less than
in order to reject the null hypothesis
. A z-score greater than
would ensure a p-value less than
.

Step 1: We need to use a 2-sample z test because there are 2 samples, boys and girls. The population standard deviation, , is known, so we can assume a standard distribution for each sample.
Step 2: This is a one-sided z test because the questions asks if the mean height of boys is greater than the mean height of girls.
Step 3: significance level, or alpha, is . This means we need a p-value less than
in order to reject the null hypothesis
. A z-score greater than
would ensure a p-value less than
.

← Didn't Know|Knew It →
Suppose you conduct a paired
-test to assess whether two group means significantly differ and find a
-score of 1.645. At what alpha level would this cause you to reject the null?
Suppose you conduct a paired -test to assess whether two group means significantly differ and find a
-score of 1.645. At what alpha level would this cause you to reject the null?
Tap to reveal answer
The critical value for a
-test with alpha set to 0.10 is 1.645.
The critical value for a -test with alpha set to 0.10 is 1.645.
← Didn't Know|Knew It →
Bob wants to statistically determine if the mean height of middle school boys is greater than the mean height of middle school girls. He wants to use a significance level of
What must be true for him to reject
.
is known.
Bob wants to statistically determine if the mean height of middle school boys is greater than the mean height of middle school girls. He wants to use a significance level of What must be true for him to reject
.
is known.
Tap to reveal answer
Step 1: We need to use a 2-sample z test because there are 2 samples, boys and girls. The population standard deviation,
, is known, so we can assume a standard distribution for each sample.
Step 2: This is a one-sided z test because the questions asks if the mean height of boys is greater than the mean height of girls.


Step 3: significance level, or alpha, is
. This means we need a p-value less than
in order to reject the null hypothesis
. A z-score greater than
would ensure a p-value less than
.

Step 1: We need to use a 2-sample z test because there are 2 samples, boys and girls. The population standard deviation, , is known, so we can assume a standard distribution for each sample.
Step 2: This is a one-sided z test because the questions asks if the mean height of boys is greater than the mean height of girls.
Step 3: significance level, or alpha, is . This means we need a p-value less than
in order to reject the null hypothesis
. A z-score greater than
would ensure a p-value less than
.

← Didn't Know|Knew It →
Suppose you conduct a paired
-test to assess whether two group means significantly differ and find a
-score of 1.645. At what alpha level would this cause you to reject the null?
Suppose you conduct a paired -test to assess whether two group means significantly differ and find a
-score of 1.645. At what alpha level would this cause you to reject the null?
Tap to reveal answer
The critical value for a
-test with alpha set to 0.10 is 1.645.
The critical value for a -test with alpha set to 0.10 is 1.645.
← Didn't Know|Knew It →
Bob wants to statistically determine if the mean height of middle school boys is greater than the mean height of middle school girls. He wants to use a significance level of
What must be true for him to reject
.
is known.
Bob wants to statistically determine if the mean height of middle school boys is greater than the mean height of middle school girls. He wants to use a significance level of What must be true for him to reject
.
is known.
Tap to reveal answer
Step 1: We need to use a 2-sample z test because there are 2 samples, boys and girls. The population standard deviation,
, is known, so we can assume a standard distribution for each sample.
Step 2: This is a one-sided z test because the questions asks if the mean height of boys is greater than the mean height of girls.


Step 3: significance level, or alpha, is
. This means we need a p-value less than
in order to reject the null hypothesis
. A z-score greater than
would ensure a p-value less than
.

Step 1: We need to use a 2-sample z test because there are 2 samples, boys and girls. The population standard deviation, , is known, so we can assume a standard distribution for each sample.
Step 2: This is a one-sided z test because the questions asks if the mean height of boys is greater than the mean height of girls.
Step 3: significance level, or alpha, is . This means we need a p-value less than
in order to reject the null hypothesis
. A z-score greater than
would ensure a p-value less than
.

← Didn't Know|Knew It →